改进二重源解析技术应用中需注意的几个重要问题

对改进二重源解析技术的计算步骤进行了介绍,并对计算中需要注意的几个主要问题进行了阐述,其中包括成分谱的建立、解析参数的范围以及独立源的选取原则。     

Nontargeted identification of peptides and disinfection byproducts in water

A broad range of organic compounds are known to exist in drinking water sources and serve as precursors of disinfection byproducts(DBPs).Epidemiological findings of an association of increased risk of bladder cancer with the consumption of chlorinated water has resulted in health concerns about DBPs.Peptides are thought to be an important category of DBP precursors in water.However,little is known about the actual presence of peptides and their DBPs in drinking water because of their high sample complexity and low concentrations.To address this challenge and identify peptides and non-chlorinated/chlorinated peptide DBPs from large sets of organic compounds in water,we developed a novel high throughput analysis strategy,which integrated multiple solid phase extraction(SPE),high performance liquid chromatography(HPLC)separation,and non-target identification using precursor ion exclusion(PIE)high resolution mass spectrometry(MS).After MS analysis,structures of candidate compounds,particularly peptides,were obtained by searching against the Human Metabolome Database(HMDB).Using this strategy,we successfully detected 625 peptides(out of 17,205 putative compounds)and 617 peptides(out of 13,297)respectively in source and finished water samples.The source and finished water samples had 501 peptides and amino acids in common.The remaining 116 peptides and amino acids were unique to the finished water.From a subset of 30 putative compounds for which standards were available,25 were confirmed using HPLC-MS analysis.By analyzing the peptides identified in source and finished water,we successfully confirmed three disinfection reaction pathways that convert peptides into toxic DBPs.     

鹤山大气超级站旱季单颗粒气溶胶化学特征研究

利用单颗粒气溶胶飞行时间质谱等仪器在鹤山大气超级站开展综合观测,结合ART-2a自适应共振神经网络聚类算法,将2013年11月4日~2013年12月30日期间监测到的1637330个细颗粒分成9类: EC-Fresh颗粒、EC-Nitrate/Sulfate颗粒、K-EC颗粒、Ca-EC颗粒、ECOC颗粒、OC-Levoglucosan颗粒、OC-Nitrate/Sulfate颗粒、K-Nitrate/Sulfate颗粒和Metal-rich颗粒.结果表明:该大气超级站所在地区旱季霾日有利于与水溶性二次无机组分混合的EC-Nitrate/Sulfate颗粒、K-Nitrate/Sulfate颗粒的累积;晴朗天更有利于二次有机组分在气溶胶颗粒中生成,雨天受当地排放源的影响显著,含有较高EC-Fresh和K-EC颗粒.相关性的研究发现,EC-Nitrate/Sulfate颗粒与能见度有良好的相关性,它们对霾的形成有至关重要的作用.     

30CrMnSiA高强钢在工业和海洋大气环境中的腐蚀行为研究

目的为30CrMnSiA高强钢的大气腐蚀防护设计、应用范围扩展和开发新钢种提供有益的借鉴和参考。方法采用腐蚀质量损失、XRD和SEM研究了30CrMnSiA高强钢在工业和海洋大气环境暴露60个月的大气腐蚀行为。结果 30CrMnSiA高强钢在工业和海洋大气环境中腐蚀质量损失随暴露时间变化的双对数函数分别是lgΔw=2.245+0.387lg t和lgΔw=2.822+0.637lg t。纤铁矿和针铁矿是两种大气环境中形成的腐蚀锈层的主要成分,除了纤铁矿和针铁矿外,在海洋大气环境形成的锈层中还发现了四方纤铁矿。随着暴露时间的延长,在海洋大气环境中形成的锈层呈现逐渐剥落的趋势。结论 30CrMnSiA高强钢在海洋大气环境中表现出较高的腐蚀敏感性,在工业大气环境中表现出较低的腐蚀敏感性。     

Characterization of an urban landfill soil by using physicochemical analysis and solid phase microextraction (SPME)—GC/MS

We have aimed at characterizing top soil samples taken in-situ from five different locations of the unregulated dumping site in Eskişehir/Turkey for a period of six months. The study is the first attempt in the city and in Turkey, regarding particularly the SPME (Solid Phase Microextraction Technique) analysis method utilized. A comprehensive research has been conducted to produce critical soil data to be used for indicating current risks as well as the urgency of rehabilitating the site and establishing a sanitary landfill in the site. Conventional physicochemical analytical methods and SPME technique were used to analyze the samples. Physicochemical analyses were performed for determining the pH, total dried matter, volatile matter, total nitrogen, phosphorus, macro elements and heavy metals. Meteorological data were also recorded for the same period. SPSS.10.0 statistical program was used to determine the correlation between meteorological data and physicochemical analysis results. Mean values were used in the correlation analyses. These data indicated that the air temperature and precipitation have significant effects on soil characteristics. SPME, coupled with GC/MS, was used to identify eighty six volatile and semi-volatile organic compounds contained in soil samples. The samples were extracted by headspace SPME with heating (δHS-SPME). SPME analyses were conducted using a commercially available polydimethylsiloxane/divinylbenzene (PDMS/DVB) fiber having a film thickness of 65 μm (Supelco) as a capture medium. The experimentally optimized headspace sampling conditions were arranged (15 min. at 50^˚C) before a 30 min. sampling period.     

温度对污泥热解产物及特性的影响

温度是污泥热解产物及产物分布状况的主要影响因素之一。为了确定最优的热解温度,为不同的热解工艺提供参考,用直径为200mm的外热式固定床反应器,以唐山西郊污水处理厂剩余污泥为实验物料,在终温为250～700℃并在初期通以氮气的情况下,对污泥的热解产物分布及特性进行了研究。实验表明:在物料成分和其它条件不变的情况下,热解反应所需时间随着热解终温的升高而缩短;热解气和热解焦油的质量分数增大;焦炭质量分数减小。热解焦炭的工业分析表明,随热解终温的升高挥发分减少、固定碳和灰分增加。热解焦油的热值在10～43MJ·kg-1之间;焦炭的热值10～24MJ·kg-1之间。     

深圳市机动车PM_(2.5)排放因子隧道测试研究

为深入了解深圳市机动车排放PM2.5化学特性,选取深圳具有代表性的城市隧道进行机动车排放因子测试。通过连续8 d的监测,获得隧道内PM2.5质量、EC、OC的浓度、交通参数、气象参数等实测数据。利用单程隧道活塞效应计算出隧道内机动车排放PM2.5质量、EC、OC的平均排放因子,分别为64.0,9.68,20.2 mg(/km.辆)。隧道内OC/EC的值在0.32~0.74之间,平均为0.52,表明深圳市机动车对PM2.5的排放,柴油车起主要作用。对塘朗山隧道与国内外其他隧道实验的测定结果进行比较,结果显示PM2.5质量的平均排放因子高低与机动车组中重型车所占比例大小规律一致,说明机动车组中重型车比例是城市控制机动车PM2.5排放的主要因素。利用线性回归分别计算重型车、轻型车对PM2.5质量、EC、OC的排放因子,经分析重型车为深圳市机动车尾气排放控制的重点,尤其是重型柴油车。     

好氧颗粒污泥系统中溶解性微生物代谢产物的特征及主要组分

采用SBR反应器以絮状活性污泥为接种污泥培养好氧颗粒污泥,主要考察好氧颗粒污泥系统中溶解性微生物代谢产物(SMP)的产生、相对分子质量分布以及主要组成物质.结果表明SMP是出水COD的主要组分,浓度为71~85 mg·L-1,SMP的产生与微生物对基质的利用、微生物衰亡和胞外聚合物(EPS)的水解有关.相对分子质量分布表明大部分SMP相对分子质量小于3×103,所占比例为54.8%~71.7%,而相对分子质量大于100×103的组分只占总SMP的一小部分,所占比例为9.3%~14.5%.三维荧光光谱分析表明,出水SMP具有4个峰,分别属于类芳香蛋白质、类色氨酸蛋白质、类腐殖酸物质和类富里酸物质.气质联用(GC-MS)分析表明SMP主要成分为酯类、短链烷烃、烯烃和醇类,所占质量分数分别为39.0%、14.9%、11.7%和7.6%.其中邻苯二甲酸二酯是出水SMP中主要组成物质,所占质量分数为32.0%.     

石墨炉原子吸收法测定土壤中痕量锑研究

建立了微波消解土壤样品,硝酸镍作为基体改进剂,热解涂层石墨管,塞曼效应扣除背景,石墨炉原子吸收法测定土壤痕量锑的方法.锑在1.00 μg/L～15.0 μg/L浓度范围内呈良好线性关系,方程相关系数为0.9992,方法的最低检出浓度为0.01 μ上g/g(以取样质量0.250 0 g,定容体积50 mL计),实际样品的加标回收率为93.7％～104.1％.本方法前处理操作过程简单快速、酸用量少,土壤标准物质测定结果令人满意,能满足环境监测分析的要求.     

兰州市城关区2000年春季大气气溶胶特征及分析

通过对兰州市城关区2000年春季大气气溶胶的监测,分析了该地区总悬浮颗粒物(TSP)的质量浓度及飘尘的粒径分布规律.结果表明:春季该地区TSP及飘尘的污染十分严重;TSP的质量浓度的日变化为双峰型;粗粒子在飘尘中的比例比较大;气象条件、人为活动规律对TSP的质量浓度变化规律及飘尘的粒径分布规律影响较大.